This article is a translated note of the Stanford University CS231N course, authorized by Professor Andrej Karpathy of Stanford University. This is a work of Big Data Digest, and unauthorized reproduction is prohibited. For specific requirements for reproduction, see the end of the article. Sign up now Machine Learning Training Registration is now open! Top-notch … Read more
With the development of deep learning technology, the detection of human skeletal key points has continuously improved and has been widely applied in fields related to computer vision, becoming the foundation for many computer vision tasks, including security, new retail, motion capture, human-computer interaction, and more. Now, the popular human pose recognition has also been … Read more
This article is a translated note of the Stanford University CS231N course, authorized for translation and publication by Professor Andrej Karpathy of Stanford University. This is a work from Big Data Digest, unauthorized reproduction is prohibited; specific requirements for reproduction can be found at the end of the article. Translation: Han Xiaoyang & Long Xincheng … Read more
Click the above “CVer” to choose to add “Star” or “Pin” Essential content delivered promptly Author: z.defying https://zhuanlan.zhihu.com/p/76459295 This article is authorized by the author, and reprinting is not allowed without permission Table of Contents: Specify GPU ID View details of each layer output of the model Gradient Clipping Expand the dimension of a single … Read more
PyTorch is a powerful deep learning framework that has become quite popular! Whether you’re working on computer vision or natural language processing, it can be extremely useful. Today, let’s discuss some basics of PyTorch and see why it is so well-loved. Tensors: The Core of PyTorch 1. A tensor is the basic data structure in … Read more
Hello everyone! I’m Dog Brother. Today, we are going to explore a super interesting project together: implementing handwritten digit recognition using PyTorch! This project will not only help us understand the basics of deep learning but also allow us to build a neural network model from scratch. I will guide you step by step in … Read more
Compiled by Wen Geng | Produced by Quantum Bits | WeChat Official Account QbitAI A few days ago, Quantum Bits published an article titled “Guide to Fooling VC”. One of the suggestions was that when you pretend to be an AI expert, it’s best not to talk about the well-known TensorFlow. So what should you … Read more
Big Data Digest authorized reprint from Data Pai THU Author: Aravind Pai Translation: Wang Weili, Zhang Yihao In our programming journey, we always turn to the most advanced architectures. Thanks to deep learning frameworks such as PyTorch, Keras, and TensorFlow, implementing advanced architectures has become easier. These deep learning frameworks provide a simple way to … Read more
Pytorch-Lightning: A Simplified Framework for Python Deep Learning! Pytorch-Lightning is a lightweight framework based on PyTorch, specifically designed to simplify the training process of deep learning models. It abstracts common coding patterns, allowing you to focus on building models without getting bogged down in cumbersome details. Today, we’ll discuss the basic usage of this framework … Read more
(1) Overview of Generative AI in China Generative AI is a type of artificial intelligence technology that can generate new, original content by learning patterns and structures from data. It utilizes deep learning models, particularly Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), to simulate human creative processes, generating various forms of content such as … Read more